학술논문

Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium
Document Type
article
Source
Arthritis Care & Research. 74(7)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Prevention
Biomedical Imaging
Pain Research
Arthritis
Aging
Chronic Pain
Clinical Research
Musculoskeletal
Biomarkers
Cartilage
Articular
Disease Progression
Humans
Knee Joint
Magnetic Resonance Imaging
National Institutes of Health (U.S.)
Osteoarthritis
Knee
Synovitis
United States
Public Health and Health Services
Psychology
Clinical sciences
Allied health and rehabilitation science
Language
Abstract
ObjectiveTo determine the optimal combination of imaging and biochemical biomarkers for use in the prediction of knee osteoarthritis (OA) progression.MethodsThe present study was a nested case-control trial from the Foundation of the National Institutes of Health OA Biomarkers Consortium that assessed study participants with a Kellgren/Lawrence grade of 1-3 who had complete biomarker data available (n = 539 to 550). Cases were participants' knees that had radiographic and pain progression between 24 and 48 months compared to baseline. Radiographic progression only was assessed in secondary analyses. Biomarkers (baseline and 24-month changes) that had a P value of